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Mostly breaking for the DecodeStream API but also adds `async` usage for `tokenizers` | {
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As discussed internally, let's use dummy video instead of downloading. Runner are crashing for some reason | {
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Traceback (most recent call last):
File "/mnt/disk0/wangyi/miniforge3/envs/transformers/lib/python3.11/threading.py", line 1038, in _bootstrap_inner
self.run()
File "/mnt/disk0/wangyi/miniforge3/envs/transformers/lib/python3.11/threading.p... | {
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https://api.github.com/repos/huggingface/transformers/issues/40535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40535/comments | https://api.github.com/repos/huggingface/transformers/issues/40535/events | https://github.com/huggingface/transformers/pull/40535 | 3,365,670,780 | PR_kwDOCUB6oc6l7dQp | 40,535 | fix gpt-oss out shape | {
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"merged_at... | # What does this PR do?
vocab_file and _extra_ids are already assigned on line 146-147, so their reassignment is redundant.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.... | {
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Problem: Fine-tuning large models with Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA requires choosing optimal hyperparameters (e.g., LoRA rank, alpha, dropout). Manually searching for the best combination is time-consuming and often leads to sub-optimal results.
### Motivation
This... | {
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We have in `SeamlessM4Tv2Encoder`
```python
to_drop = False
if self.training:
dropout_probability = torch.rand([])
if dropout_probability < self.layerdrop: # skip the layer
to_drop = True
if ... | {
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Hi guys!
Recently I was trying to tune the GPT oss 20b model for some task I was interested in.
I tried to follow a strategy similar to the one indicated by the `gpt-oss-recipes` repositories for sft: https://github.com/huggingface/gpt-oss-recipes/blob/main/sft.py
But instead of full fine tuning I wan... | {
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https://api.github.com/repos/huggingface/transformers/issues/40530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40530/comments | https://api.github.com/repos/huggingface/transformers/issues/40530/events | https://github.com/huggingface/transformers/pull/40530 | 3,364,566,777 | PR_kwDOCUB6oc6l32YV | 40,530 | Set `test_all_params_have_gradient=False` for `HunYuanMoEV1ModelTest` | {
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Moe models should set this to `False` as in many other Moe model test files.
As not all experts will be selected, and if not selected, their parameters won't have grad | {
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https://api.github.com/repos/huggingface/transformers/issues/40529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40529/comments | https://api.github.com/repos/huggingface/transformers/issues/40529/events | https://github.com/huggingface/transformers/pull/40529 | 3,364,092,253 | PR_kwDOCUB6oc6l2PnO | 40,529 | Update kosmos2_5 README to use torch_dtype in model loading example | {
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"merged_at... | # Update kosmos2_5 README to use `torch_dtype` in model loading example
This pull request updates the `kosmos2_5.md` README file to correct the `Kosmos2_5ForConditionalGeneration.from_pretrained` example. Specifically, it replaces the `dtype` parameter with `torch_dtype` to align with the Hugging Face Transformers A... | {
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https://api.github.com/repos/huggingface/transformers/issues/40528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40528/comments | https://api.github.com/repos/huggingface/transformers/issues/40528/events | https://github.com/huggingface/transformers/pull/40528 | 3,363,989,927 | PR_kwDOCUB6oc6l15nD | 40,528 | [`Qwen Omni/VL`] Fix fa tests | {
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"merged_at... | Mrope is dependent on the head dim so we need to update it as well
cc @zucchini-nlp (since vlms and such have more potential to fuck things up here) | {
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https://api.github.com/repos/huggingface/transformers/issues/40527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40527/comments | https://api.github.com/repos/huggingface/transformers/issues/40527/events | https://github.com/huggingface/transformers/pull/40527 | 3,363,981,620 | PR_kwDOCUB6oc6l13yD | 40,527 | Standardize DialoGPT Model Card | {
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"merged_at... | ## What does this PR do?
This PR updates the DialogGPT model card to align with the new standardized model card format proposed in #36923.
## Notes
- This PR is still a work in progress.
- Using the doc preview bot to verify formatting.
- Follow-up commits will update the pending sections. | {
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https://api.github.com/repos/huggingface/transformers/issues/40526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40526/comments | https://api.github.com/repos/huggingface/transformers/issues/40526/events | https://github.com/huggingface/transformers/pull/40526 | 3,363,905,235 | PR_kwDOCUB6oc6l1nSL | 40,526 | Lazy import torchcodec | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/40525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40525/comments | https://api.github.com/repos/huggingface/transformers/issues/40525/events | https://github.com/huggingface/transformers/pull/40525 | 3,363,744,744 | PR_kwDOCUB6oc6l1E0b | 40,525 | 🚨🚨🚨 Refactor CLIP structure | {
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Remove excessive abstraction by merging `CLIPVisionTransformers` and `CLIPVisionModel` into a single `CLIPVisionModel`. This is a breaking change, the `CLIPVisionTransformers` class will no longer exist, and weights will be saved with a different prefix (weights loading is OK). Motivation - c... | {
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https://api.github.com/repos/huggingface/transformers/issues/40524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40524/comments | https://api.github.com/repos/huggingface/transformers/issues/40524/events | https://github.com/huggingface/transformers/pull/40524 | 3,363,685,496 | PR_kwDOCUB6oc6l033U | 40,524 | Use begin_of_sequence token in all sliding windows for correct model behaviour | {
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"merged_at... | Testing with models employing bos tokens (eg Llama) resulted in much higher perplexity for all tokens but those in the first window. Reason was that if we tokenize only once, then only the first window will get the bos token. However for correct model behaviour, each forward pass/each sliding window needs to have a bos... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40523/comments | https://api.github.com/repos/huggingface/transformers/issues/40523/events | https://github.com/huggingface/transformers/pull/40523 | 3,363,485,326 | PR_kwDOCUB6oc6l0MPu | 40,523 | Fix mistral3 tests after "[Kosmos 2.5] Rename checkpoints" | {
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NPU & Ascend Driver:
NPU: 16x Ascend 910B2 64GB
CANN Version: 8.2.RC1
Python Version: Python 3.11.9
Key Libraries:
verl: git+[https://github.com/volcengine/verl@8e1fc24](https://www.google.com/search?q=https://github.com/volcengine/verl%408e1fc24&authuser=1)
transformers: 4.53.3
torch: 2.5.1+cp... | {
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As discussed offline. | {
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https://api.github.com/repos/huggingface/transformers/issues/40520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40520/comments | https://api.github.com/repos/huggingface/transformers/issues/40520/events | https://github.com/huggingface/transformers/pull/40520 | 3,363,385,144 | PR_kwDOCUB6oc6lz2re | 40,520 | [generate] add faster `stop_strings` stopping criteria | {
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"merged_at... | # What does this PR do?
Adds `StopStringTextMatchCriteria`, a faster alternative to `StopStringCriteria`. Unlike `StopStringCriteria`, `StopStringTextMatchCriteria` **can't** be compiled.
Some additional context:
- when we added `StopStringCriteria`, we were looking forward having end-to-end `generate` compilati... | null | {
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"merged_at... | # What does this PR do?
For those failing with
> torch._inductor.exc.InductorError: RuntimeError: No valid triton configs. OutOfMemoryError: out of resource: triton_tem_fused_0 Required: 151552 Hardware limit:101376 Reducing block sizes or num_stages may help.
I don't want to see 👀 🙄 anymoreeeeeeeee! | {
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It has been a warning for a few releases, but now `trust_remote_code=True` is required to run constrained beam search.
Depends on #40480 and #40495 | {
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- there is a value `is_updated` that is declared in an `if` which is then used in a check, so we add a default value of `False`
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"merged_at... | …ted keys in the request: {'request_id'} INFO: ::1:44814 - "POST /v1/chat/completions HTTP/1.1" 422 Unprocessable Entity
# What does this PR do?
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This PR introduces a new utility module that automates tokenizer selection and configuration based on corpus characteristics, addressing the need to reduce manual trial-and-error in tokenizer selection and improve model performance with minimal user effort.
## Key Features:
CorpusAnal... | null | {
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- `transformers` version: 4.54.0
- Platform: Linux-5.15.0-1061-nvidia-x86_64-with-glibc2.35
- Python version: 3.10.16
- Huggingface_hub version: 0.34.1
- Safetensors version: 0.5.2
- Accelerate version: 1.7.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
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Add Context-Aware Tokenizer Suggestion Utility Based on Corpus Analysis
This will introduce a utility module that automates tokenizer selection and configuration based on corpus characteristics. The goal is to reduce manual heuristics and improve model performance with minimal user effort.
Bene... | null | {
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Fix more typos in comments and variable names. | {
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Speeds up GGUF tokenizer used in `tests/quantization/ggml/test_ggml.py` by using original tokenizer from NVIDIA.
Fixes #40334
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in ... | {
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Speeds up GGUF tokenizer used in `tests/quantization/ggml/test_ggml.py` by using original tokenizer from NVIDIA.
Fixes #40334
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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As per the title. Until now, if a class was ever referenced in the modular file BEFORE being redefined in it later on in the file, it could match a class from another modeling file, thus adding wrong dependencies to the generated files.
This PR fixes it, by making sure all classes redefined ... | {
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WIP for the new iteration of InternVL3.5, see https://huggingface.co/OpenGVLab/InternVL3_5-241B-A28B/tree/main. Original authors are working on their own conversion to HF format (see https://huggingface.co/OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-Preview/discussions/2 ), pushing this for safekee... | {
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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- `transformers` version: 4.56.0.dev0
- Platform: Linux-5.4.0-216-generic-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.5.3
- Accelerate version: 1.10.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: MULTI_GPU
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The workflow lacked a condition and the whole list of models in our codebase were selected to run when there is no change in modeling code.
This PR fixed it. | {
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This PR fixes transformers serve as it is currently not working due to an unexpected field being passed `request_id`
# reproducer
```python
transformers serve
transformers chat localhost:8000 --model-name-or-path HuggingFaceTB/SmolLM3-3B
```
the second message will trigger an error.... | {
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**Environment:**
- PyTorch version: 2.6
- transformers: 4.55.4
---
**Describe the issue:**
Starting from PyTorch 2.6, the default behavior of `torch.load` has changed: `weights_only=True` is now the default. This introduces stricter security checks during unpickling, requiring explicit allowlisting of certain glob... | {
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- solves a multi-device issue in `qwen2_5_omni`
- adds AMD expectations to `gemma3`, `qwen2_5_omni` and `qwen2_5_vl`
- fixes an issue in the `qwen2_5_omni` and `qwen2_5_vl` FA tests: the test changes the `hidden_size` so it breaks compatibility with `m... | {
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As per the title, fix `options` tags + replace `no_grad` with `inference_mode`
cc @sbucaille
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For models with:
- A dot in their name (e.g. "saved_model_v1.0")
- AND custom code with another module other than config.py and model.py
`AutoModel.from_pretrained(..)` fails with: `ModuleNotFoundError: No module named 'transformers_modules.saved_model_v1'`
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It has been a warning for a few releases, but now `trust_remote_code=True` is required to run group beam search.
Depends on #40480 | {
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The CI job of the tests in `Qwen2MoeIntegrationTest` is killed from time to time due to the CPU memory limit (60 G), which is unclear to me why the usage may differ in different runs.
This PR simply reuses the same model set once in the first test, except the `test_model_a2_7b_long_prompt_... | {
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Fixes [40477](https://github.com/huggingface/transformers/issues/40477) and propagates kwargs in deprecated auto models
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Fixes https://github.com/huggingface/transformers/issues/40136 and fixes https://github.com/huggingface/transformers/issues/40154
The accuracy on lm eval is restored. The issue was in position ids which weren't prepared correctly when generating. Using packed or unpacked positions doesn't... | {
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## Description
The Voxtral model crashes during LoRA training with:
**RuntimeError**: a leaf Variable that requires grad is being used in an in-place operation.
## Location of Issue
The error occurs in `modeling_voxtral.py` at line 512 in the `forward` method:
```python
if input_features is... | {
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https://api.github.com/repos/huggingface/transformers/issues/40487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40487/comments | https://api.github.com/repos/huggingface/transformers/issues/40487/events | https://github.com/huggingface/transformers/issues/40487 | 3,359,041,528 | I_kwDOCUB6oc7INuf4 | 40,487 | Mutex while building docs | {
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System:
- OS: macOS 14.5 (Build 23F79)
- CPU: Apple M1
- RAM: 16 GB
Python:
- Version: 3.13.2
- pip: 23.3.1 (from /opt/miniconda3/lib/python3.12/site-packages)
Node / npm:
- No... | {
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This PR is another iteration of reworking the benchmarking flow in Transformers. the goal is to have a similar flow as for Diffusers: daily reports to HF Datasets, and visualization in Gradio Spaces.
This PR focuses on the framework fundamentals, export to Datasets, GH actions and more mod... | {
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Name: transformers
Version: 4.53.0
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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Adds expected results to certain tests that had slightly different results on AMD devices. | {
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As per the title. Let's use multiprocessing by default on the converter, and it also fixes relative imports of the form `from ...models.name.modeling_ import ...` that caused the issue of on-conversion in https://github.com/huggingface/transformers/pull/40431
cc @qubvel as well, only the c... | {
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"merged_at... | Same as #38916, but for repos on the hub. This time we dont need to copy anything, as the whole repo is cloned, we just need to handle the paths properly.
This gets tested indirectly with the custom generate tests that will come with group beam search etc.
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- added a `--continuous_batching` cmd line flag to enable, open to change this!
- ~`max_new_tokens` can sometimes be `None`, set a default so it doesn't break CB which expects it to be set~ can't repro my previous error, removed the added code and added a test to ... | {
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the currently latest [main](https://github.com/huggingface/transformers/tree/75d6f17de68f372284ecb5b40db6f83007ffa394) branch
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
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AutoModelForVision2Seq.from_config() got an unexpected keyword argument 'torch_dtype'
transformers >= 4.54.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
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- `transformers` version: 4.54.1
- Platform: Linux-5.10.134-16.3.al8.x86_64-x86_64-with-glibc2.39
- Python version: 3.10.15
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.7.0
- Accelerate config: not found
- DeepSpeed version: 0.16.3
- PyTorch version (acceler... | {
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- `transformers` version: 4.56.0.dev0
- Platform: Linux-5.15.0-151-generic-x86_64-with-glibc2.35
- Python version: 3.12.11
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (... | null | {
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# What does this PR do?
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- `test_sentencepiece_tokenize_and_convert_tokens_to_string`
- `test_sentencepiece_tokenize_and_decode`
Both tests now call the mixin implementations to verify fast and slow tokenizers produce consistent results.
✅ No API chan... | null | {
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This commit introduces GLPNImageProcessorFast, a PyTorch-optimized image processor for GLPN models with enhanced multi-channel support.
Key improvements:
- Added GLPNImageProcessorFast class with native PyTorch tensor processing
- Enhanced support for 1, 3, and 4-channel images (includin... | null | {
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"merged_at... | Standardized the CodeGen model card to match the project's documentation template (#36979). Added concise overview, badge section, friendly model description, Pipeline and AutoModel usage examples, quantization info, attention visualization, and resource links. Improves ease of use and first-time contributor experience... | null | {
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https://api.github.com/repos/huggingface/transformers/issues/40470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40470/comments | https://api.github.com/repos/huggingface/transformers/issues/40470/events | https://github.com/huggingface/transformers/pull/40470 | 3,357,067,971 | PR_kwDOCUB6oc6lfFtu | 40,470 | Add collated reports job to Nvidia CI | {
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"merged_at... | # What does this PR do?
This PR adds the new collated reports job to Nvidia as well that produces reports like this: https://huggingface.co/datasets/optimum-amd/transformers_daily_ci/blob/main/2025-08-25/runs/39-17221003312/ci_results_run_models_gpu/collated_reports_e68146f.json
This is required to compare test r... | {
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https://api.github.com/repos/huggingface/transformers/issues/40469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/40469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/40469/comments | https://api.github.com/repos/huggingface/transformers/issues/40469/events | https://github.com/huggingface/transformers/pull/40469 | 3,356,957,892 | PR_kwDOCUB6oc6leutP | 40,469 | Fix nightly torch CI | {
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Since we use FA2 in the CI docker image last Sunday, the nightly torch CI hangs at the docker image build job.
Let's not use FA2 and run FA2 tests on torch nightly CI workflow.
Also need to not install `detectron2` for the same/similar reason. | {
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Pytorch version: 2.8.0+cu128
Transformers version: 4.55.4
### Who can help?
Hi,
I have uninstalled a latest version of transformers. While accessing "GptOssForSequenceClassification", I get the error:
ImportError: cannot import name 'GptOssForSequenceClassification' from 'transformers' (/home/user... | {
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If cancelled, not to send the notification. | {
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Translated the `jan.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [X] Check for missing / redundant translations (번역 누락/중복 검사)
- [X] Grammar Check (맞춤법 검사)
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"merged_at... | # What does this PR do?
Translated the `tools.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [X] Check for missing / redundant translations (번역 누락/중복 검사)
- [X] Grammar Check (맞춤법 검사)
- [X]... | null | {
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Translated the `agents.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [X] Check for missing / redundant translations (번역 누락/중복 검사)
- [X] Grammar Check (맞춤법 검사)
- [X... | null | {
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### System Info
peft version : 0.17.1
transformers version: 4.55.2
Platform: Linux-5.14.0-570.33.2.el9_6.x86_64-x86_64-with-glibc2.39
Python version: 3.12.3
Huggingface_hub version: 0.34.4
Safetensors version: 0.6.2
Accelerate version: 1.10.0
Accelerate config:
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I was going through the code for `modeling_llama` and the RoPE implementation. I came across the following function:
```
def forward(self, x, position_ids):
inv_freq_expanded = self.inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1).to(x.device)
position_ids_expanded = position_id... | {
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Kaggle script running GPT:oss20b that worked this morning (pulls transformers from GitHub) has just started giving this error:
_'GptOssConfig' object has no attribute 'max_position_embeddings_
Not a big user and it's a plug and play script so can't elaborate much, sorry.
Here's the env!
Copy-and-pa... | {
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- `transformers` version: 4.53.3
- Platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.11.13
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: 0.17.4
- PyTorch version... | {
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- `transformers` version: 4.56.0.dev0
- Platform: Linux-5.4.0-216-generic-x86_64-with-glibc2.31
- Python version: 3.12.7
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.6.2
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | Add `bfloat16` support detection for MPS (Apple Silicon) in `is_torch_bf16_gpu_available()`
# What does this PR do?
Makes sure to allow it and not throw on `bf16` usage with "Your setup doesn't support bf16/gpu." from `TrainingArguments`.
### Why?
`bfloat16` has been supported for a few years now in Metal [1]... | {
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Image models should have a `.hidden_size` getter that figures out the model's return shape (in its setup at that time)
### Motivation
It is currently left as an exercise to the user to figure out the hidden size of image embedding models.
Once must read the documentation and then implement their ... | null | {
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A lot of modular files had wrong calls to parent's method (in order to skip unravelling the definition), making then non-pythonic files. This is now fixed, and the converter is much more robust on this.
Here are the new rules to make this process much more pythonic, such that modular files... | {
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- Update save_pretrained and from_pretrained methods to include optional attributes
- Modify processor_config.json handling to accommodate optional attributes
- Improve error handling and logging for optional attribute loading
# What does this PR do?
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Not sure how this got in here, but adapt aria cross attention to our standards | null | {
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CI when PR merged to `main`.
We restrict to the pre-defined list of important models.
A job run: https://github.com/huggingface/transformers/actions/runs/17234576559
The slack notification : https://huggingface.slack.com/archives/C01QRHS4K3P/p1756202582644859
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Seed-OSS is a series of open-source large language models developed by ByteDance's Seed Team, designed for powerful long-context, reasoning, agent and general capabilities, and versatile developer-friendly features. Although trained with only 12T tokens, Seed-OSS achieves excellent performance on... | {
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Gemma RMSNorm weight is used additively in `...*(1+weight)`,
thus it should be initialized with zero.
Fixes #40224
## Who can review?
@ArthurZucker
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Compared to the recently released MiniCPM-V 4.0, this new version puts more emphasis on performance metrics.
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- `transformers` version: 4.55.0.dev0
- Platform: macOS-15.6.1-arm64-arm-64bit
- Python version: 3.12.2
- Huggingface_hub version: 0.34.3
- Safetensors version: 0.5.3
- Accelerate version: 1.9.0
- Accelerate config: not found
- DeepSpeed version: not installed
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"merged_at... | ## Pull Request: Add Support for Handling Overlapping Annotations in Mask2Former
### Problem
The current image processing pipeline for Mask2Former doesn't handle overlapping annotations correctly. When annotations overlap, the processing order is arbitrary, causing larger objects to sometimes be overwritten by sm... | null | {
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Translated the `big_bird.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
- ... | {
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- Platform: Linux-5.4.0-1113-oracle-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.34.4
- Safetensors version: 0.5.3
- Accelerate version: 1.10.0
- Accelerate config: not found
- DeepSpeed version: 0.16.9
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• Added a TYPE_CHECKING guard for auto model imports to prevent circular dependencies.
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